The global Structured Query Language (SQL) server transformation market size reached USD 12.42 Billion in 2021 and is expected to register a revenue CAGR of 9.4% during the forecast period, according to latest analysis by Emergen Research. Increasing demand for SQL server transformation in end-use industries such as retail, Information Technology (IT), and Banking, Financial Services, and Insurance (BFSI) sectors is a key factor driving market revenue growth. Rapidly increasing data volumes across these sectors is driving demand for SQL server transformation. Data transformation services for SQL servers help in better organization of data. Transformation of data also allows easier data processing. Well-formatted and validated data protects applications from possible issues such as unexpected duplication, null values, incompatible formats, and incorrect indexing. SQL server data transformation improves compatibility between systems, applications, and data types. Rising demand for SQL server transformation is also prompting developer companies to bring newer technologies to the market. On 24 May 2022 for instance, Microsoft announced the launch of SQL Server 2022, which has some new features with security and improvements. The new SQL server now works with Azure Synapse Link and Microsoft Purview to provide customers with deeper insights and governance from their data estates at scale.
The Global Structured Query Language Server Transformation Market Research Report provides a brief overview inclusive of the competitive landscape and key developments, policies, manufacturing costs, and processes. The report also provides the analysis of import/export, production and consumption ratio, supply and demand, cost, price, estimated revenue, and gross margins. The report further discusses in detail the driving factors influencing the growth of the market currently and in the coming years.
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The leading market contenders listed in the report are:
Oracle Corporation, IBM Corporation, NuoDB Inc., Microsoft Corporation, Alphabet Inc., SingleStore Inc., Teradata Corporation, Actian Corporation, SAP SE, and Amazon Web Services Inc
Key reasons to buy the Global Structured Query Language Server Transformation Market report:
- It offers a detailed account of the end-use applications of the products services offered by this industry.
- The latest report comprehensively studies the global Structured Query Language Server Transformation market size and provides useful inference on numerous aspects of the market, such as the current business trends, market share, product offerings, and product share.
- The report offers an insightful analysis of the regional outlook of the market.
- The report holistically covers the latest developments taking place in this industry. Therefore, it lists the most effective business strategies implemented by the market rivals for ideal business expansion.
Some Key Highlights From the Report
- The data integration scripts segment accounted for largest revenue share in the global SQL server transformation market in 2021 due to high adoption rate of this technology among organizations. SQL is used to solve complex business problems through copying or downloading files, data warehouse loading, data cleansing and mining, and SQL server object management. Data integration scripts enhance business decision-making process and streamline organizational operational activities.
- Enterprise data warehousing segment revenue is expected to increase at a steady rate over the forecast period due to rising need for storing vast volumes of data among organizations. Enterprise data warehousing is a procedure to store business data, including customer information of a company, in a relational data warehouse. It is also an important procedure for big data solutions. Importing big data into SQL data warehouses helps organizations to run high-performance data analyses.
- The SQL server transformation market in North America accounted for largest revenue share in 2021 due to high adoption of advanced technologies and devices resulting in high need for data management solutions. Rising need to manage vast volumes of data among large enterprises in countries across the region is driving high demand for SQL server transformation.
- Some major companies in the market report include Oracle Corporation, IBM Corporation, NuoDB Inc., Microsoft Corporation, Alphabet Inc., SingleStore Inc., Teradata Corporation, Actian Corporation, SAP SE, and Amazon Web Services Inc.
- On 23 October 2020, SolarWinds, which is a U.S.-based software company engaged in offering solutions for IT management software, announced signing of a partnership agreement for the acquisition of SentryOne, which is a firm offering DataOps solutions and database performance monitoring on SQL server among other platforms.
Market Segmentations of the Structured Query Language Server Transformation Market
Function Type Outlook (Revenue, USD Billion; 2019-2030)
- Data Integration Scripts
- Information Retrieval
- Analytical Queries
- Others
Application Outlook (Revenue, USD Billion; 2019-2030)
- Enterprise Data Warehousing
- Business Operations
Organization Size Outlook (Revenue, USD Billion; 2019-2030)
- Small & Medium-sized Enterprises
- Large Enterprises
Regional Outlook of the Structured Query Language Server Transformation Market
The global Structured Query Language Server Transformation market has been categorized into several important geographical regions, including North America, Europe, Asia Pacific, Latin America, and Middle East Africa. In this section, authors of the report have studied the presence of the global Structured Query Language Server Transformation market across major geographies. Moreover, the estimated market share, market size, revenue contribution, sales network and distribution channel, and other crucial elements of each regional segment have been detailed in the report.
The research provides answers to the following key questions:
- What will be the growth rate of the Structured Query Language Server Transformation market for the forecast period, 2020 to 2030? What will be the market size and the share occupied by the prominent vendors by the estimated period?
- What are challenges and threats faced by the prominent vendors operating in the Structured Query Language Server Transformation market?
- Who are the prominent vendors and what has been their business strategy so far to maintain a competitive edge over their competitors?
- What are the past, present and emerging trends likely to influence the growth rate of the Structured Query Language Server Transformation market for the forecast period, 2022 to 2030?
- What are the opportunities prominent vendors can bank on to generate more profits during the estimated period?
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